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Вернуться к Набор инструментальных средств для специалистов по обработке данных

Отзывы учащихся о курсе Набор инструментальных средств для специалистов по обработке данных от партнера Университет Джонса Хопкинса

4.6
звезд
Оценки: 27,506
Рецензии: 5,781

О курсе

In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio....
Основные моменты
Foundational tools
(рецензий: 243)
Introductory course
(рецензий: 1056)

Лучшие рецензии

SF

Apr 15, 2020

As a business student from Bangladesh who is aspiring to be a data analyst in near future, I love this course very much. The quizzes and assessments were the places to check how much I exactly learnt.

LR

Sep 08, 2017

It was really insightful, coming from knowing almost nothing about statistics or experimental design, it was easy to understand while not feeling shallow. Just the right amount of information density.

Фильтр по:

4401–4425 из 5,661 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Alberto H P

May 21, 2020

Claro, fácil de seguir y bien secuenciado. Una buena introducción a R.

автор: Md A H

May 07, 2020

this course is very helpful.i gather many new things from this course.

автор: gabriel h

Aug 24, 2019

Very good course, need a little update but has very easy do understand

автор: Jukka H

Feb 05, 2019

It covered the basics of concepts and tools that Data Scientist needs!

автор: Dolphin L

Sep 13, 2018

A good course. Step by step to create concept for git, github, R tool.

автор: Adit W

Jan 23, 2017

It was a good introduction. Looking forward to the rest of the course.

автор: Vijay S

Oct 21, 2016

Covers the basic effectively.Hope it's useful for the upcoming courses

автор: Mykela G

Jul 15, 2016

This course is a very basic introduction, but I think it is an importa

автор: Jaheer H A

Jun 05, 2016

Very excellent startup to motivate a one want to become data scientist

автор: Kashif K

Jul 31, 2020

It is very good course in a short time for all who love data science.

автор: Hani A

Mar 16, 2019

The course should be more interactive. It's such an exciting subject.

автор: M.Reza

Aug 26, 2018

it could be better if the local repository in git was explained more.

автор: Sam M

Apr 03, 2018

This was a good introduction. I would have liked to see more content!

автор: Javier K

Jan 31, 2018

Está muy bien para iniciarse y tener en cuenta los elementos básicos.

автор: Kirstin L

Aug 10, 2017

Could have used a little more details in explanations. Overall okay.

автор: Jason L

Jul 26, 2017

Git and Github lesson could use some better explanations and examples

автор: 廖倩华

Jun 15, 2017

Basic information on data science and the toolbox of data scientists.

автор: Damien B

Jun 06, 2017

Very logical in stepping the knowledge but some times short in explan

автор: William K

Jun 05, 2016

Very helpful introduction to downloading R and Data Science concepts.

автор: UMANG A

May 24, 2020

I prefer non-automated video lectures over these automated lectures.

автор: Paul F G

Jan 06, 2019

Very good, concise overview of the burgeoning field of Data Science.

автор: Bernardo L

Aug 06, 2018

Quick & simple (yet useful) introduction to data science principles.

автор: catherine s

Jun 25, 2017

I enjoyed the course and the learned some useful skills. Thank you.

автор: Sachin G

May 24, 2017

learn what basics you need to start as a data scientist. Really help

автор: Reinier F

Mar 24, 2017

Excellent introduction... Cant wait to get going on the next course.